Self-Service AI with Power BI Desktop

Self-Service AI with Power BI Desktop
  • eBook:
    Self-Service AI with Power BI Desktop: Machine Learning Insights for Business
  • Author:
    Markus Ehrenmueller-Jensen
  • Edition:
    1 edition
  • Categories:
  • Data:
    September 29, 2020
  • ISBN:
  • ISBN-13:
  • Language:
  • Pages:
    367 pages
  • Format:
    PDF, ePUB

Book Description
This book explains how you can enrich the data you have loaded into Power BI Desktop by accessing a suite of Artificial Intelligence (AI) features. These AI features are built into Power BI Desktop and help you to gain new insights from existing data. Some of the features are automated and are available to you at the click of a button or through writing Data Analysis Expressions (DAX). Other features are available through writing code in either the R, Python, or M languages. This book opens up the entire suite of AI features to you with clear examples showing when they are best applied and how to invoke them on your own datasets.
No matter if you are a business user, analyst, or data scientist – Power BI has AI capabilities tailored to you. This book helps you learn what types of insights Power BI is capable of delivering automatically. You will learn how to integrate and leverage the use of the R and Python languages for statistics, how to integrate with Cognitive Services and Azure Machine Learning Services when loading data, how to explore your data by asking questions in plain English ... and more! There are AI features for discovering your data, characterizing unexplored datasets, and building what-if scenarios.

There’s much to like and learn from this book whether you are a newcomer to Power BI or a seasoned user. Power BI Desktop is a freely available tool for visualization and analysis. This book helps you to get the most from that tool by exploiting some of its latest and most advanced features.

What You Will Learn
  • Ask questions in natural language and get answers from your data
  • Let Power BI explain why a certain data point differs from the rest
  • Have Power BI show key influencers over categories of data
  • Access artificial intelligence features available in the Azure cloud
  • Walk the same drill down path in different parts of your hierarchy
  • Load visualizations to add smartness to your reports
  • Simulate changes in data and immediately see the consequences
  • Know your data, even before you build your first report
  • Create new columns by giving examples of the data that you need
  • Transform and visualize your data with the help of R and Python scripts
Who This Book Is For
For the enthusiastic Power BI user who wants to apply state-of-the-art artificial intelligence (AI) features to gain new insights from existing data. For end-users and IT professionals who are not shy of jumping into a new world of machine learning and are ready to make that step and take a deeper look into their data. For those wanting to step up their game from doing simple reporting and visualizations by making the move into diagnostic and predictive analysis.


Chapter 1: Asking Questions in Natural Language
Chapter 2: The Insights Feature
Chapter 3: Discovering Key Influencers
Chapter 4: Drilling Down and Decomposing Hierarchies
Chapter 5: Adding Smart Visualizations
Chapter 6: Experimenting with Scenarios
Chapter 7: Characterizing a Dataset
Chapter 8: Creating Columns from Examples
Chapter 9: Executing R and Python Visualizations
Chapter 10: Transforming Data with R and Python
Chapter 11: Execute Machine Learning Models in the Azure Cloud

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